scholarly journals Falls Associate with Neurodegenerative Changes in ATN Framework of Alzheimer’s Disease

2020 ◽  
Vol 77 (2) ◽  
pp. 745-752
Author(s):  
Audrey Keleman ◽  
Julie K. Wisch ◽  
Rebecca M. Bollinger ◽  
Elizabeth A. Grant ◽  
Tammie L. Benzinger ◽  
...  

Background: Behavioral markers for Alzheimer’s disease (AD) are not included within the widely used amyloid-tau-neurodegeneration framework. Objective: To determine when falls occur among cognitively normal (CN) individuals with and without preclinical AD. Methods: This cross-sectional study recorded falls among CN participants (n = 83) over a 1-year period. Tailored calendar journals recorded falls. Biomarkers including amyloid positron emission tomography (PET) and structural and functional magnetic resonance imaging were acquired within 2 years of fall evaluations. CN participants were dichotomized by amyloid PET (using standard cutoffs). Differences in amyloid accumulation, global resting state functional connectivity (rs-fc) intra-network signature, and hippocampal volume were compared between individuals who did and did not fall using Wilcoxon rank sum tests. Among preclinical AD participants (amyloid-positive), the partial correlation between amyloid accumulation and global rs-fc intra-network signature was compared for those who did and did not fall. Results: Participants who fell had smaller hippocampal volumes (p = 0.04). Among preclinical AD participants, those who fell had a negative correlation between amyloid uptake and global rs-fc intra-network signature (R = –0.75, p = 0.012). A trend level positive correlation was observed between amyloid uptake and global rs-fc intra-network signature (R = 0.70, p = 0.081) for preclinical AD participants who did not fall. Conclusion: Falls in CN older adults correlate with neurodegeneration biomarkers. Participants without falls had lower amyloid deposition and preserved global rs-fc intra-network signature. Falls most strongly correlated with presence of amyloid and loss of brain connectivity and occurred in later stages of preclinical AD.

2020 ◽  
Author(s):  
Jianfeng Wu ◽  
Qunxi Dong ◽  
Jie Gui ◽  
Jie Zhang ◽  
Yi Su ◽  
...  

ABSTRACTBiomarker assisted preclinical/early detection and intervention in Alzheimer’s disease (AD) may be the key to therapeutic breakthroughs. One of the presymptomatic hallmarks of AD is the accumulation of beta-amyloid (Aβ) plaques in the human brain. However, current methods to detect Aβ pathology are either invasive (lumbar puncture) or quite costly and not widely available (amyloid PET). Our prior studies show that MRI-based hippocampal multivariate morphometry statistics (MMS) are an effective neurodegenerative biomarker for preclinical AD. Here we attempt to use MRI-MMS to make inferences regarding brain amyloid burden at the individual subject level. As MMS data has a larger dimension than the sample size, we propose a sparse coding algorithm, Patch Analysis-based Surface Correntropy-induced Sparse coding and max-pooling (PASCS-MP), to generate a low-dimensional representation of hippocampal morphometry for each individual subject. Then we apply these individual representations and a binary random forest classifier to predict brain Aβ positivity for each person. We test our method in two independent cohorts, 841 subjects from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) and 260 subjects from the Open Access Series of Imaging Studies (OASIS). Experimental results suggest that our proposed PASCS-MP method and MMS can discriminate Aβ positivity in people with mild cognitive impairment (MCI) (Accuracy (ACC)=0.89 (ADNI)) and in cognitively unimpaired (CU) individuals (ACC=0.79 (ADNI) and ACC=0.82 (OASIS)). These results compare favorably relative to measures derived from traditional algorithms, including hippocampal volume and surface area, shape measures based on spherical harmonics (SPHARM) and our prior Patch Analysis-based Surface Sparse-coding and Max-Pooling (PASS-MP) methods.


2021 ◽  
Vol 15 ◽  
Author(s):  
Jianfeng Wu ◽  
Qunxi Dong ◽  
Jie Gui ◽  
Jie Zhang ◽  
Yi Su ◽  
...  

Biomarker assisted preclinical/early detection and intervention in Alzheimer’s disease (AD) may be the key to therapeutic breakthroughs. One of the presymptomatic hallmarks of AD is the accumulation of beta-amyloid (Aβ) plaques in the human brain. However, current methods to detect Aβ pathology are either invasive (lumbar puncture) or quite costly and not widely available (amyloid PET). Our prior studies show that magnetic resonance imaging (MRI)-based hippocampal multivariate morphometry statistics (MMS) are an effective neurodegenerative biomarker for preclinical AD. Here we attempt to use MRI-MMS to make inferences regarding brain Aβ burden at the individual subject level. As MMS data has a larger dimension than the sample size, we propose a sparse coding algorithm, Patch Analysis-based Surface Correntropy-induced Sparse-coding and Max-Pooling (PASCS-MP), to generate a low-dimensional representation of hippocampal morphometry for each individual subject. Then we apply these individual representations and a binary random forest classifier to predict brain Aβ positivity for each person. We test our method in two independent cohorts, 841 subjects from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) and 260 subjects from the Open Access Series of Imaging Studies (OASIS). Experimental results suggest that our proposed PASCS-MP method and MMS can discriminate Aβ positivity in people with mild cognitive impairment (MCI) [Accuracy (ACC) = 0.89 (ADNI)] and in cognitively unimpaired (CU) individuals [ACC = 0.79 (ADNI) and ACC = 0.81 (OASIS)]. These results compare favorably relative to measures derived from traditional algorithms, including hippocampal volume and surface area, shape measures based on spherical harmonics (SPHARM) and our prior Patch Analysis-based Surface Sparse-coding and Max-Pooling (PASS-MP) methods.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Manee Pinyopornpanish ◽  
Kanokporn Pinyopornpanish ◽  
Atiwat Soontornpun ◽  
Surat Tanprawate ◽  
Angkana Nadsasarn ◽  
...  

Abstract Background Caregiver burden affects the caregiver’s health and is related to the quality of care received by patients. This study aimed to determine the extent to which caregivers feel burdened when caring for patients with Alzheimer’s Disease (AD) and to investigate the predictors for caregiving burden. Methods A cross-sectional study was conducted. One hundred two caregivers of patients with AD at Maharaj Nakorn Chiang Mai Hospital, a tertiary care hospital, were recruited. Assessment tools included the perceived stress scale (stress), PHQ-9 (depressive symptoms), Zarit Burden Interview-12 (burden), Clinical Dementia Rating (disease severity), Neuropsychiatric Inventory Questionnaires (neuropsychiatric symptoms), and Barthel Activities Daily Living Index (dependency). The mediation analysis model was used to determine any associations. Results A higher level of severity of neuropsychiatric symptoms (r = 0.37, p < 0.01), higher level of perceived stress (r = 0.57, p < 0.01), and higher level of depressive symptoms (r = 0.54, p < 0.01) were related to a higher level of caregiver burden. The direct effect of neuropsychiatric symptoms on caregiver burden was fully mediated by perceived stress and depressive symptoms (r = 0.13, p = 0.177), rendering an increase of 46% of variance in caregiver burden by this parallel mediation model. The significant indirect effect of neuropsychiatric symptoms by these two mediators was (r = 0.21, p = 0.001). Conclusion Caregiver burden is associated with patients’ neuropsychiatric symptoms indirectly through the caregiver’s depressive symptoms and perception of stress. Early detection and provision of appropriate interventions and skills to manage stress and depression could be useful in reducing and preventing caregiver burden.


2006 ◽  
Vol 12 (5) ◽  
pp. 707-735 ◽  
Author(s):  
ELIZABETH W. TWAMLEY ◽  
SUSAN A. LEGENDRE ROPACKI ◽  
MARK W. BONDI

Alzheimer's disease (AD) is a common, devastating form of dementia. With the advent of promising symptomatic treatment, the importance of recognizing AD at its very earliest stages has increased. We review the extant neuropsychological and neuroimaging literature on preclinical AD, focusing on longitudinal studies of initially nondemented individuals and cross-sectional investigations comparing at-risk with normal individuals. We systematically reviewed 91 studies of neuropsychological functioning, structural neuroimaging, or functional neuroimaging in preclinical AD. The neuropsychological studies indicated that preclinical AD might be characterized by subtle deficits in a broad range of neuropsychological domains, particularly in attention, learning and memory, executive functioning, processing speed, and language. Recent findings from neuroimaging research suggest that volume loss and cerebral blood flow or metabolic changes, particularly in the temporal lobe, may be detected before the onset of dementia. There exist several markers of a preclinical period of AD, in which specific cognitive and biochemical changes precede the clinical manifestations. The preclinical indicators of AD reflect early compromise of generalized brain integrity and temporal lobe functioning in particular. (JINS, 2006,12, 707–735.)


2018 ◽  
Vol 31 (9) ◽  
pp. 1343-1353 ◽  
Author(s):  
Juliana Onofre de Lira ◽  
Thaís Soares Cianciarullo Minett ◽  
Paulo Henrique Ferreira Bertolucci ◽  
Karin Zazo Ortiz

ABSTRACTIntroduction:Alzheimer’s disease (AD) is a degenerative syndrome that impairs cognitive functioning, including speech and language. Discourse can be used to analyze language processing, which is organized into microlinguistic and macrolinguistic dimensions.Objectives:To identify the occurrence of changes in the macrolinguistic dimension of oral discourse in AD patients. Design: This was developed as a cross-sectional study. Setting: Outpatient clinic of the Behavioural Neurology Division of São Paulo Federal University.Participants:121 elderly patients, with ≥ 4 years of education, divided into AD and comparison groups.Measurements:The subjects were asked to create a narrative based on seven figures that made up a story. The macrolinguistic aspects of the narratives were analyzed.Results:The performance of the AD group was inferior to that of the comparison group on content-related, no-content-related complete and incomplete propositions as well as macropropositions, main information units, appropriated local and global coherence, cohesive devices and all subtypes, cohesive errors and some of their subtypes. Global coherence, macropropositions and ellipsis subtype of cohesive devices were the variables that best differentiated the groups.Conclusions:Changes were observed in most aspects of the macrolinguistic dimension of oral discourse in patients with AD.


2017 ◽  
Vol 5 (1) ◽  
pp. 23 ◽  
Author(s):  
Daniela Fernandes Tonholi ◽  
Gisele Oltramari

Aims: To determine the prevalence, cognitive performance and functionality of elderly people with Alzheimer's disease in long-stay institutions for the elderlyin the city of Bento Gonçalves. Methods: Cross-sectional study including 24 elderly residents in long-stay institutions for the elderly, sociodemographic datawere obtained, and the elderly were subjected to functional evaluation by the Functional Independence Measure and evaluation of cognitive performancethrough the mental state the Mini (MMSE). Results: Most of the residents were female (83%), as 54.2% schooling had completed junior high school, mostof the elderly (70.8%) was admitted by the will of the family, 100% of the elderly showed cognitive performance bad, and the smaller the more dependentcognitive performance was the individual. Conclusion: institutionalized elderly with Alzheimer's disease had negative results on cognitive performance,as well as deficits in their ability to perform activities of daily living, thus altering their functionality.Keywords: aging; functionality; cognition; Alzheimer Disease; long-stay institutions.


2013 ◽  
Vol 7 (2) ◽  
pp. 171-175
Author(s):  
Gustavo Henrique de Oliveira Caldas ◽  
Sueli Luciano Pires ◽  
Milton Luiz Gorzoni

ABSTRACT Neuropsychiatric symptoms (NPS) cause distress, disabilitiy and reduced quality of life for both the patient and their families Objective: To evaluate the prevalence of NPS as a specific stage of dementia status. Methods: A cross-sectional study in patients attending an outpatient clinic for dementia was performed. We applied the Neuropsychiatric Inventory and Clinical Dementia Rating (CDR) scale. Statistical analysis was carried out with SPSS 17 software. Results: The 124 subjects (mean age of 80.4±7.0 years), 88 women (70.9%) had average duration of dementia of 7.1±3.2 years, most common dementias of Alzheimer's disease (35.5%) and mixed (31.5%) and most prevalent NPS of apathy (75%) and irritability (66.9%). Correlation between apathy and a CDR 1 had a PR (prevalence ratio) = 0.289 and p<0.001 while between apathy and CDR 4-5 (PR=8.333, p<0.005). A similar result was found between aberrant motor behavior (AMB) and CDR 1 (PR=0.352, p<0.003) and between AMB and CDR4-5 (PR=2.929, p<0.006). Conclusion: Alzheimer's disease and mixed dementia were predominant, while apathy and AMB were detected in association with the progressive stages of dementia.


2020 ◽  
Vol 11 ◽  
Author(s):  
Tânia Regina Ferreira ◽  
Luciane Cruz Lopes ◽  
Cristiane de Càssia Bergamaschi

Background: There is lack of national studies that assess the risks associated with the drugs provided under the Brazilian public health system for treating Alzheimer’s disease. Then, this study determined the prevalence and severity of self-reported adverse drug reactions (ADRs) prescribed to patients with Alzheimer’s disease in the Brazilian public health system.Methods: A cross-sectional study was carried out based on public data from the MEDEX system (information on dispensing data, known as exceptional dispensing medications) and interviews with patients and/or caregivers who get access to Alzheimer’s drugs at a public pharmacy in a large Brazilian city, between July and September 2017, inquiring about ADRs and serious adverse events (SAEs).Results: The subjects were asked about ADRs and SAEs related to the use of donepezil, galantamine, rivastigmine and memantine. Out of 285 patients enrolled on the database, 250 participated in the study (87.7%). Among the participants, approximately 63.0% were female, 70.3% aged ≥75 years and 70.3% had comorbidities. Overall, 209 patients (83.6%) reported at least one ADR (total 1,149 ADRs) and rivastigmine was associated with the largest number of ADRs per patient (7.9 ADRs/patient). The predominant adverse effects were psychiatric disorders with common frequency (57.1%) and mild severity (89.0%). Six patients (2.4%) had SAEs that required hospitalization. The use of antipsychotics was the variable associated with ADR (OR = 4.95; 95% CI: 1.45–16.93; p = 0.011).Conclusion: There was a large number of reported ADRs and most of them were of common frequency and mild severity, being mainly related to psychiatric disorders. Considering the fragility of these patients, it is important to improve safety-related care in the use of drugs for treating this disease.


2021 ◽  
Author(s):  
Aline De Lucena ◽  
Paulo Fernando Santos ◽  
Marcia Cristina Dourado

Background: In recent years, interest has been growing in cognitive and affective ToM functioning in individuals suffering from neurodegenerative disorders, such as Alzheimer’s disease (AD). However, the affective ToM has been less investigated. Objective: This study aims to compare affective ToM performance in persons with mild to moderate AD and healthy older controls (HOC), and its relationship with cognition. Methods: A cross-sectional study of 97 mild to moderate AD individuals and 40 HOC. To assess affective ToM, participants were administered a task that examines ability to comprehend the emotional situation nature along with the appropriate emotional state that one would experience in that situation. Assessments of cognition, dementia severity, functionality, awareness of disease and neuropsychiatric symptoms were completed for AD group. Results: Analyses of emotional reasoning indicated a group effect on performance. There was a significant difference between the AD and HOC groups in terms of their ability to understand situations of sadness, surprise, anger, and happiness, with the moderate AD showing the worst performance for all emotional situations. Ability to appropriately name the emotional state was significantly different for surprise, anger, and happiness, but not for sadness, with both AD groups showing lower performance for surprise and anger, and with the mild AD showing better performance for happiness. In both AD groups, ability to understand the emotional situation and to name the emotion was significantly correlated with cognitive impairment and awareness of disease. Neuropsychiatric symptoms were significantly correlated in moderate AD group. Conclusions: Impairment in understanding the emotional aspects of situations can lead moderate AD people to experience conflicts in family and social situations. Mild AD people can experience same conflicts when their preserved ability in understanding the emotional situation is underestimated.


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